AI Product Managemnet

6-month AI Product Management Internship Program

Crafted to appeal especially to college students/learners who want to blend technology, business, and AI into a powerful career path.

🚀 Why This Course?

AI isn’t just changing products—it’s redefining how products are imagined, built, and scaled. Traditional product management doesn’t cut it in this AI-first world. This course empowers learners to:

  • Understand both AI capabilities and limitations

  • Bridge the gap between business, tech, and UX

  • Drive real AI-based product innovation

📚 Program Structure

PhaseDurationFocus
FoundationWeek 1–4PM principles + AI essentials
Deep DiveWeek 5–10Tools, frameworks, case studies
ApplicationWeek 11–16Product design, MVPs, portfolio
Live Projects2 MonthsTeam-based product work
Internship2 MonthsStartup/Agency Product Roles

📆 Week-wise Course Breakdown

🔹 Weeks 1–4: Foundations of AI + PM

  • Week 1: What is Product Management?
    Roles, responsibilities, lifecycle, AI product manager vs. traditional PM

  • Week 2: Basics of AI & ML (for PMs)
    How AI works, terminology, when to use AI in products

  • Week 3: Market Research & User Discovery
    Persona building, JTBD, user interviews, trends

  • Week 4: Problem Framing & Opportunity Analysis
    Value proposition canvas, customer journey mapping


🔹 Weeks 5–10: Tools, Frameworks, and Agile PM

  • Week 5: Building AI Products: Opportunities & Challenges
    Explainability, ethics, bias, feasibility evaluation

  • Week 6: AI/ML Product Lifecycle
    From data to deployment — simplified for PMs

  • Week 7: Roadmapping & Prioritization
    OKRs, MoSCoW, RICE, Productboard

  • Week 8: Wireframing, No-code Prototyping & MVPs
    Figma, Webflow, Bubble, Framer + AI-assisted tools

  • Week 9: Working with Engineers & Data Scientists
    Tech team collaboration, sprint rituals, PRD writing

  • Week 10: Growth, Metrics & Analytics
    North Star metric, funnel optimization, retention analysis


🔹 Weeks 11–16: Real-World Simulation

  • Week 11: PM Case Studies (Google, OpenAI, Notion, etc.)
    Deconstructing successful AI products

  • Week 12: Build Your Own Product Challenge
    Solo: Create and pitch a simple AI-based product idea

  • Week 13: Group Product Lab
    Team: Build roadmap, prototype, and go-to-market plan

  • Week 14: Business Modeling & Monetization
    Lean canvas, AI SaaS models, marketplace dynamics

  • Week 15: Stakeholder Communication & Pitching
    Storytelling, decks, investor vs. dev pitch styles

  • Week 16: Final Portfolio + Resume Week
    LinkedIn upgrade, product pitch video, personal portfolio site


🔧 2-Month Live Projects

  • Build and iterate on real AI tools/products

  • Weekly sprints, retros, and PM reviews

  • Experience collaboration with engineers, designers, and business leads


🧑‍💼 2-Month Internship

  • Placement in product roles at startups, AI labs, or edtechs

  • Product analytics, roadmapping, PRD writing

  • Internship Certificate + Letter of Recommendation

  • Career coaching + mock interviews

 

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    Course Duration:

    24 Weeks

    Batch Size/Mode :

    3 - 6 Students
    Online/Offline

    👩‍🎓 Who Can Join?

    ->Final/Pre-final year college students (any stream, preferably CS, IT, Business, or Design)
    ->People curious about tech, strategy, innovation
    ->No coding background required (but basic familiarity helps)
    ->Ideal for aspiring PMs, founders, and AI-savvy professionals

    Class Time:

    11:00am - 4:00pm / 2h

    Language:

    English,Hinglish

    AI isn’t coming. It’s already here.
    Learn how it works. Create with it. Make smarter decisions.

     

    🚀 What You’ll Gain

    • ✅ Mastery of AI tools used in real marketing campaigns

    • ✅ Internship-level experience before even graduating

    • ✅ A portfolio with real-world projects

    • ✅ AI-enhanced creativity & campaign strategy skills

    • ✅ Certification + Career guidance + Resume/LinkedIn optimization

    📈 Outcomes

    • 🎓 AI Product Management Certification

    • 💼 Internship Experience & Portfolio Projects

    • 🧠 Ready for PM/AI roles in startups, corporates, or as founders

    • 🚀 Full career launchpad for Product + AI future